Accuracy of machine learning and traditional statistical models in the prediction of postpartum haemorrhage: a systematic review

Accuracy of machine learning and traditional statistical models in the prediction of postpartum haemorrhage: a systematic review

Objectives To evaluate whether postpartum haemorrhage (PPH) can be predicted using both machine learning (ML) and traditional statistical models.Design Diagnostic systematic review and meta-analysis of observational and clinical studies, prospectively registered on PROSPERO, performed accordingly to...

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Bibliographic Details
Main Authors: Zilma Silveira Nogueira Reis, Ana Luiza Lunardi Rocha, Thais Baeta, Juliana Almeida Oliveira, Ana Paula Couto da Silva
Format: Article
Language:English
Published: BMJ Publishing Group 2025-03-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/15/3/e094455.full

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https://bmjopen.bmj.com/content/15/3/e094455.full

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